Eliciting Event-Driven Feedback in a Social Network

ABSTRACT

Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.

RELATED APPLICATION

The present application is a continuation application of U.S. patentapplication Ser. No. 13/711,431, filed Dec. 11, 2012, and entitled“Eliciting Event-Driven Feedback in a Social Network.”

TECHNICAL FIELD

This disclosure generally relates to eliciting feedback from users, andparticularly, to eliciting information from users for use in conjunctionwith a social-networking system.

BACKGROUND

A social-networking system, which may include a social-networkingwebsite, may enable its users (such as persons or organizations) tointeract with it and with each other through it. The social-networkingsystem may, with input from a user, create and store in thesocial-networking system a user profile associated with the user. Theuser profile may include demographic information, communication-channelinformation, and information on personal interests of the user. Thesocial-networking system may also, with input from a user, create andstore a record of relationships of the user with other users of thesocial-networking system, as well as provide services (e.g., wall posts,photo-sharing, event organization, messaging, games, or advertisements)to facilitate social interaction between or among users.

SUMMARY OF PARTICULAR EMBODIMENTS

Particular embodiments detect events associated with information aboutactivities that a user has engaged in. The activities may be associatedwith a location or location-agnostic. Based on the received information,the social-networking system sends the user a request for follow-upinformation after an appropriate time delay. The time delay may varybased on the user activity and the context of the event that triggeredthe request. After the follow-up information is received, suchinformation is stored in the social-networking system and may be used todetermine recommendations, sponsored stories, advertisements, etc. tosend to friends of the user. In particular embodiments, the informationmay be used for ranking or filtering recommendations.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an example network environment associated with asocial-networking system.

FIGS. 2A-F illustrate example wireframes of a flow for processingevents, requesting additional information, and providing content and/orfunctionality based on the additional information.

FIG. 3 illustrates an example method for processing events, requestingadditional information, and providing content and/or functionality basedon the additional information.

FIG. 4 illustrates an example social graph.

FIG. 5 illustrates an example computer system.

DESCRIPTION OF EXAMPLE EMBODIMENTS

Particular embodiments detect events associated with information aboutan activity that a user has engaged in. The activity may be associatedwith a location or it may be location-agnostic. Based on the receivedinformation, the social-networking system sends the user a request forfollow-up information after an appropriate time delay. The time delaymay vary based on a determined reference date and time of the useractivity; the delay may also vary based on the context of the event thattriggered the request. After the follow-up information is received, suchinformation is stored in the social-networking system and may be used todetermine recommendations, sponsored stories, advertisements, etc. tosend to friends of the user. In particular embodiments, the informationmay be used for ranking or filtering recommendations.

FIG. 1 illustrates an example network environment 100 associated with asocial-networking system. Network environment 100 includes a clientsystem 130, a social-networking system 160, and a third-party system 170connected to each other by a network 110. Although FIG. 1 illustrates aparticular arrangement of client system 130, social-networking system160, third-party system 170, and network 110, this disclosurecontemplates any suitable arrangement of client system 130,social-networking system 160, third-party system 170, and network 110.As an example and not by way of limitation, two or more of client system130, social-networking system 160, and third-party system 170 may beconnected to each other directly, bypassing network 110. As anotherexample, two or more of client system 130, social-networking system 160,and third-party system 170 may be physically or logically co-locatedwith each other in whole or in part. Moreover, although FIG. 1illustrates a particular number of client systems 130, social-networkingsystems 160, third-party systems 170, and networks 110, this disclosurecontemplates any suitable number of client systems 130,social-networking systems 160, third-party systems 170, and networks110. As an example and not by way of limitation, network environment 100may include multiple client system 130, social-networking systems 160,third-party systems 170, and networks 110. Embodiments of computingdevices, including but not limited to computer servers and clientdevices, are described in greater detail with respect to FIG. 5 inrelated portions of the specification.

This disclosure contemplates any suitable network 110. As an example andnot by way of limitation, one or more portions of network 110 mayinclude an ad hoc network, an intranet, an extranet, a virtual privatenetwork (VPN), a local area network (LAN), a wireless LAN (WLAN), a widearea network (WAN), a wireless WAN (WWAN), a metropolitan area network(MAN), a portion of the Internet, a portion of the Public SwitchedTelephone Network (PSTN), a cellular telephone network, or a combinationof two or more of these. Network 110 may include one or more networks110.

Links 150 may connect client system 130, social-networking system 160,and third-party system 170 to communication network 110 or to eachother. This disclosure contemplates any suitable links 150. Inparticular embodiments, one or more links 150 include one or morewireline (such as for example Digital Subscriber Line (DSL) or Data OverCable Service Interface Specification (DOCSIS)), wireless (such as forexample Wi-Fi or Worldwide Interoperability for Microwave Access(WiMAX)), or optical (such as for example Synchronous Optical Network(SONET) or Synchronous Digital Hierarchy (SDH)) links. In particularembodiments, one or more links 150 each include an ad hoc network, anintranet, an extranet, a VPN, a LAN, a WLAN, a WAN, a WWAN, a MAN, aportion of the Internet, a portion of the PSTN, a cellulartechnology-based network, a satellite communications technology-basednetwork, another link 150, or a combination of two or more such links150. Links 150 need not necessarily be the same throughout networkenvironment 100. One or more first links 150 may differ in one or morerespects from one or more second links 150.

In particular embodiments, client system 130 may be an electronic deviceincluding hardware, software, or embedded logic components or acombination of two or more such components and capable of carrying outthe appropriate functionalities implemented or supported by clientsystem 130. As an example and not by way of limitation, a client system130 may include a computer system such as a desktop computer, notebookor laptop computer, netbook, a tablet computer, e-book reader, GPSdevice, camera, personal digital assistant (PDA), handheld electronicdevice, cellular telephone, smartphone, other suitable electronicdevice, or any suitable combination thereof. This disclosurecontemplates any suitable client systems 130. A client system 130 mayenable a network user at client system 130 to access network 110. Aclient system 130 may enable its user to communicate with other users atother client systems 130.

In particular embodiments, client system 130 may include a web browser132, such as MICROSOFT INTERNET EXPLORER, GOOGLE CHROME or MOZILLAFIREFOX, and may have one or more add-ons, plug-ins, or otherextensions, such as TOOLBAR or YAHOO TOOLBAR. A user at client system130 may enter a Uniform Resource Locator (URL) or other addressdirecting the web browser 132 to a particular server (such as server162, or a server associated with a third-party system 170), and the webbrowser 132 may generate a Hyper Text Transfer Protocol (HTTP) requestand communicate the HTTP request to server. The server may accept theHTTP request and communicate to client system 130 one or more Hyper TextMarkup Language (HTML) files responsive to the HTTP request. Clientsystem 130 may render a webpage based on the HTML files from the serverfor presentation to the user. This disclosure contemplates any suitablewebpage files. As an example and not by way of limitation, webpages mayrender from HTML files, Extensible Hyper Text Markup Language (XHTML)files, or Extensible Markup Language (XML) files, according toparticular needs. Such pages may also execute scripts such as, forexample and without limitation, those written in JAVASCRIPT, JAVA,MICROSOFT SILVERLIGHT, combinations of markup language and scripts suchas AJAX (Asynchronous JAVASCRIPT and XML), and the like. Herein,reference to a webpage encompasses one or more corresponding webpagefiles (which a browser may use to render the webpage) and vice versa,where appropriate.

In particular embodiments, social-networking system 160 may be anetwork-addressable computing system that can host an online socialnetwork. Social-networking system 160 may generate, store, receive, andsend social-networking data, such as, for example, user-profile data,concept-profile data, social-graph information, or other suitable datarelated to the online social network. Social-networking system 160 maybe accessed by the other components of network environment 100 eitherdirectly or via network 110. In particular embodiments,social-networking system 160 may include one or more servers 162. Eachserver 162 may be a unitary server or a distributed server spanningmultiple computers or multiple datacenters. Servers 162 may be ofvarious types, such as, for example and without limitation, web server,news server, mail server, message server, advertising server, fileserver, application server, exchange server, database server, proxyserver, another server suitable for performing functions or processesdescribed herein, or any combination thereof. In particular embodiments,each server 162 may include hardware, software, or embedded logiccomponents or a combination of two or more such components for carryingout the appropriate functionalities implemented or supported by server162. In particular embodiments, social-networking system 164 may includeone or more data stores 164. Data stores 164 may be used to storevarious types of information. In particular embodiments, the informationstored in data stores 164 may be organized according to specific datastructures. In particular embodiments, each data store 164 may be arelational, columnar, correlation, or other suitable database. Althoughthis disclosure describes or illustrates particular types of databases,this disclosure contemplates any suitable types of databases. Particularembodiments may provide interfaces that enable a client system 130, asocial-networking system 160, or a third-party system 170 to manage,retrieve, modify, add, or delete, the information stored in data store164.

In particular embodiments, social-networking system 160 may store one ormore social graphs in one or more data stores 164. In particularembodiments, a social graph may include multiple nodes—which may includemultiple user nodes (each corresponding to a particular user) ormultiple concept nodes (each corresponding to a particular concept)—andmultiple edges connecting the nodes. Embodiments of a social graph,including user nodes, concept nodes, and edges, are described in greaterdetail with respect to FIG. 4 in related portions of the specification.Social-networking system 160 may provide users of the online socialnetwork the ability to communicate and interact with other users. Inparticular embodiments, users may join the online social network viasocial-networking system 160 and then add connections (e.g.,relationships) to a number of other users of social-networking system160 whom they want to be connected to. Herein, the term “friend” mayrefer to any other user of social-networking system 160 with whom a userhas formed a connection, association, or relationship viasocial-networking system 160.

In particular embodiments, social-networking system 160 may provideusers with the ability to take actions on various types of items orobjects, supported by social-networking system 160. As an example andnot by way of limitation, the items and objects may include groups orsocial networks to which users of social-networking system 160 maybelong, events or calendar entries in which a user might be interested,computer-based applications that a user may use, transactions that allowusers to buy or sell items via the service, interactions withadvertisements that a user may perform, or other suitable items orobjects. A user may interact with anything that is capable of beingrepresented in social-networking system 160 or by an external system ofthird-party system 170, which is separate from social-networking system160 and coupled to social-networking system 160 via a network 110.

In particular embodiments, social-networking system 160 may be capableof linking a variety of entities. As an example and not by way oflimitation, social-networking system 160 may enable users to interactwith each other as well as receive content from third-party systems 170or other entities, or to allow users to interact with these entitiesthrough an application programming interfaces (API) or othercommunication channels.

In particular embodiments, a third-party system 170 may include one ormore types of servers, one or more data stores, one or more interfaces,including but not limited to APIs, one or more web services, one or morecontent sources, one or more networks, or any other suitable components,e.g., that servers may communicate with. A third-party system 170 may beoperated by a different entity from an entity operatingsocial-networking system 160. In particular embodiments, however,social-networking system 160 and third-party systems 170 may operate inconjunction with each other to provide social-networking services tousers of social-networking system 160 or third-party systems 170. Inthis sense, social-networking system 160 may provide a platform, orbackbone, which other systems, such as third-party systems 170, may useto provide social-networking services and functionality to users acrossthe Internet.

In particular embodiments, a third-party system 170 may include athird-party content object provider. A third-party content objectprovider may include one or more sources of content objects, which maybe communicated to a client system 130. As an example and not by way oflimitation, content objects may include information regarding things oractivities of interest to the user, such as, for example, movie showtimes, movie reviews, restaurant reviews, restaurant menus, productinformation and reviews, or other suitable information. As anotherexample and not by way of limitation, content objects may includeincentive content objects, such as coupons, discount tickets, giftcertificates, or other suitable incentive objects.

In particular embodiments, social-networking system 160 also includesuser-generated content objects, which may enhance a user's interactionswith social-networking system 160. User-generated content may includeanything a user can add, upload, send, or “post” to social-networkingsystem 160. As an example and not by way of limitation, a usercommunicates posts to social-networking system 160 from a client system130. Posts may include data such as status updates or other textualdata, location information, photos, videos, links, music or othersimilar data or media. Content may also be added to social-networkingsystem 160 by a third-party through a “communication channel,” such as anewsfeed or stream.

In particular embodiments, social-networking system 160 may include avariety of servers, sub-systems, programs, modules, logs, and datastores. In particular embodiments, social-networking system 160 mayinclude one or more of the following: a web server, action logger,API-request server, relevance-and-ranking engine, content-objectclassifier, notification controller, action log,third-party-content-object-exposure log, inference module,authorization/privacy server, search module, advertisement-targetingmodule, user-interface module, user-profile store, connection store,third-party content store, or location store. Social-networking system160 may also include suitable components such as network interfaces,security mechanisms, load balancers, failover servers,management-and-network-operations consoles, other suitable components,or any suitable combination thereof. In particular embodiments,social-networking system 160 may include one or more user-profile storesfor storing user profiles. A user profile may include, for example,biographic information, demographic information, behavioral information,social information, or other types of descriptive information, such aswork experience, educational history, hobbies or preferences, interests,affinities, or location. Interest information may include interestsrelated to one or more categories. Categories may be general orspecific. As an example and not by way of limitation, if a user “likes”an article about a brand of shoes the category may be the brand, or thegeneral category of “shoes” or “clothing.” A connection store may beused for storing connection information about users. The connectioninformation may indicate users who have similar or common workexperience, group memberships, hobbies, educational history, or are inany way related or share common attributes. The connection informationmay also include user-defined connections between different users andcontent (both internal and external). A web server may be used forlinking social-networking system 160 to one or more client systems 130or one or more third-party system 170 via network 110. The web servermay include a mail server or other messaging functionality for receivingand routing messages between social-networking system 160 and one ormore client systems 130. An API-request server may allow a third-partysystem 170 to access information from social-networking system 160 bycalling one or more APIs. An action logger may be used to receivecommunications from a web server about a user's actions on or offsocial-networking system 160. In conjunction with the action log, athird-party-content-object log may be maintained of user exposures tothird-party-content objects. A notification controller may provideinformation regarding content objects to a client system 130.Information may be pushed to a client system 130 as notifications, orinformation may be pulled from client system 130 responsive to a requestreceived from client system 130. Authorization servers may be used toenforce one or more privacy settings of the users of social-networkingsystem 160. A privacy setting of a user determines how particularinformation associated with a user can be shared. The authorizationserver may allow users to opt in or opt out of having their actionslogged by social-networking system 160 or shared with other systems(e.g., third-party system 170), such as, for example, by settingappropriate privacy settings. Third-party-content-object stores may beused to store content objects received from third parties, such as athird-party system 170. Location stores may be used for storing locationinformation received from client systems 130 associated with users.Advertisement-pricing modules may combine social information, thecurrent time, location information, or other suitable information toprovide relevant advertisements, in the form of notifications, to auser.

FIGS. 2A-C and FIGS. 2D-F are wireframes that illustrate example usecases of functionality to process events, request additionalinformation, and provide functionality based on the additionalinformation. Example computing device 200 is associated with a firstsocial-networking user who triggers an event related to an activity andsubmits additional information related to the activity. Examplecomputing device 205 is associated with a second social-networking userwho may be connected to the first social-networking user in a socialgraph of the social-networking system.

In FIG. 2A, a social-networking user (Michel Brillat-Savarin) associatedwith example computing device 200 initiates an event by using a check-ininterface 210 to provide information about an activity thesocial-networking user is engaging in (i.e., dining at a restaurant)together with location-based information. The user submits comment 215along with the check-in event, which is associated with the location ofa restaurant (Wakuriya). The social-networking system receives theinformation and, after determining that the user may have furtherinformation about the activity underlying the check-in event, sends theuser a request for additional information.

The determination regarding whether the user may have furtherinformation about the activity underlying the check-in event may bebased at least on the type of activity, as well as whether anyinformation was provided in relation to the check-in event and what wasprovided. In the example illustrated in FIGS. 2A-C, thesocial-networking system may determine that the user may have additionalinformation to provide regarding their experience at the restaurant,based on an assumption that the user probably purchased and consumed ameal at the restaurant. Alternatively, the determination may be based ona verification by the restaurant that the social-networking user did infact purchase and consume a meal at the restaurant. Alternatively, thedetermination may be based on the fact that the restaurant (the entityassociated with the check-in action, or perhaps even some third-partyorganization, e.g., a restaurant reviewing website) may have requestedthat additional information be solicited from anyone performing a socialaction associated with that location.

In FIG. 2B, the example computing device 200 displays a notificationswindow 220 that includes a request 222 for additional informationrelated to the activity: “a review of your dining experience lastnight.” In the example context illustrated by FIGS. 2A-C, request 222was scheduled to be sent to the user 12 hours after the check-in event.In this context, the check-in is presumed to be occurring in real timewhile the user is at the restaurant (thereby providing a reference dateand time of the user activity). The timing of request 222 to the user iscalculated to schedule delivery of request 222 at an appropriate moment:(1) reasonably promptly after the reference date and time of the useractivity, so as to ensure that the user's memory is fresh, (2) but nottoo early (when the user may still be in the middle of their meal, ormay be occupied with other activities later that evening, such as goingto a movie or a show).

Although request 222 asks the user to submit a “review” related to theactivity (a review of their dining experience), in particularembodiments, request 222 may ask for feedback in different formats, suchas, by way of example and not limitation, a rating (e.g., a multi-starrating), a ranking, a response to a multiple-choice question, submissionof photos or video that the user may have taken of the activity, a“Like” indication, a recommendation or testimonial, a click on a linkthat takes the user to an input interface, etc. Furthermore, althoughrequest 222 relates to the user's “dining experience,” the request maybe related to more specific aspects of the activity, such as the actualitems consumed or purchased by the user, or to other related aspects,such as the service, décor, convenience of nearby parking or transit,appeal of the neighborhood around the restaurant, etc.

FIG. 2B also illustrates notifications 224 and 226, which were triggeredby social graph actions executed by social-networking connections of thesocial-networking user. In the example shown in FIG. 2B, notification224 is related to a comment posted by a social-networking connection(Tom Candless) on a photo posted by the social-networking user (MichelBrillat-Savarin) together with his check-in comment 215. Notification226 is related to a “Like” indication submitted by anothersocial-networking connection (Alice Poulsen) in relation to check-incomment 215. In the example illustrated in FIGS. 2A-C, these actions arestored in the social graph and provide context for delivery of contentand/or functionality to social-networking connections of thesocial-networking user, based on the information submitted by thesocial-networking user in relation to the event. Example social graphsand related social-networking functions are described in further detailwith respect to FIG. 4.

After receiving the request 222 shown in FIG. 2B, the social-networkinguser (Michel Brillat-Savarin) responds to the request 222 by submittinga review of his dining experience. This information may be stored inassociation with any related nodes and edges of the social graph. Inthis example, the review may be stored as a content item associated withthe edge (that represents the check-in action) that connects a user nodefor the social-networking user to a concept node for the restaurant.

After the submits the additional information to the social-networkingsystem, the social-networking system may use the additional informationto provide recommendations, sponsored stories, advertisements, or othercontent and/or functionality to social-networking contacts of thesocial-networking user. In FIG. 2C, example computing device 205, whichis associated with a social-networking contact of the social-networkinguser, displays an advertisement 232 and two notifications 234 and 236.The content of advertisement 232 may be based on the review submitted bythe social-networking user (which may be focused on the specific menuselection described in advertisement 232—the seasonal Matsutake TastingMenu). Furthermore, advertisement 232 is provided to a targetedaudience—those social-networking connections of the user who would bemost likely to be interested in advertisement 232. The targeted audiencemay include those social connections of the user who are engaging insocial actions (and thereby generating notifications to the user)related to restaurant dining. The delivery of advertisement to the usermay also be indicative of the user's own interests. Notifications 234and 236 reflect that the user of computing device 205 is asocial-networking connection of the user of computing device 200 (MichelBrillat-Savarin). The social-networking user associated with computingdevice 205 may be following the social-networking user associated withcomputing device 200.

In particular embodiments where the advertisement is related to aparticular location, the targeted audience may be selected based on alocation-based ranking algorithm that determines, for each user, whethercontent or functionality related to the particular location should beprovided to the user (e.g., in a recommendation, sponsored story,advertisement, or other medium).

In FIG. 2D, a social-networking user (Mark Poulsen) associated withexample computing device 200 initiates an event by using a photouploader interface 240 to provide location-based information. The usersubmits comment 242 along with the uploaded photo, which is associatedwith an online costume store (Wonderland Occasions), as well as beingassociated with another social-networking user (Alice Liddell). Thesocial-networking system receives the information and, after determiningthat the user may have further information about the activity underlyingthe event, sends the user a request for additional information.

The determination regarding whether the user may have furtherinformation about the activity may be based at least on the type of theactivity, as well as whether any information was provided in relation tothe photo upload event and what was provided. In the example illustratedin FIGS. 2D-F, the social-networking system may determine that thesocial-networking user may have additional information to provideregarding their activity (online shopping), based on an assumption thatthe user probably purchased one or more items while shopping.Alternatively, the determination may be based on a verification by theonline store that the social-networking user did in fact purchase one ormore items. Alternatively, the determination may be based on the factthat the online store or a third-party organization may have requestedthat additional information be solicited from anyone performing a socialaction associated with the website of the online store.

In FIG. 2E, the example computing device 200 displays a notificationswindow 250 that includes a request 252 related to the activity: whether“you liked your shopping experience today.” In the example contextillustrated by FIGS. 2D-F, request 252 was scheduled to be sent to theuser one hour after the photo upload event. In this context, the photoupload is presumed to be occurring in real time as the user isfinalizing his purchase of the costume (thereby providing a referencedate and time of the activity). In particular embodiments, metadata orother information accompanying the uploaded photo may also (oralternatively) be analyzed to determine a reference date and time (e.g.,looking at a timestamp of the uploaded photo to determine when it wastaken). The timing of request 252 to the user is calculated to scheduledelivery of request 222 at an appropriate moment: (1) reasonablypromptly after the photo upload event, so as to ensure that the user'smemory is fresh, (2) but not too early (when the user may still be inthe middle of shopping).

Although request 252 asks the user to submit a “review” related to theactivity (a review of their shopping experience), in particularembodiments, request 252 may ask for feedback in different formats, suchas, by way of example and not limitation, a rating related to the event,for a response to a multiple-choice question, for any photos or videothat the user may have taken in relation to the event, for a “Like”indication of the event, for a recommendation or testimonial, for theuser to click on a link that takes the user to an input interface, etc.Furthermore, although the request shown in FIG. 2E relates to the user's“shopping experience,” the request may be related to more specificaspects, such as the actual items purchased by the user, or to otherrelated aspects, such as the available selection of products, sizes, orcolors, the aesthetic appeal of the website, the usability of thewebsite, etc.

FIG. 2E also illustrates notifications 254 and 256, which were triggeredby social graph actions executed by social-networking connections of thesocial-networking user. In the example shown in FIG. 2E, notification254 is related to a comment posted by a social-networking connection(Dave Barsted) on a photo posted by the social-networking user (MarkPoulsen) together with his check-in comment 215. Notification 226 isrelated to another social-networking connection (Alice Liddell) whorecently joined an affinity group related to the event described incheck-in comment 215. In the example illustrated in FIGS. 2D-F, theseactions are stored in the social graph and provide context for deliveryof content and/or functionality to social-networking connections of thesocial-networking user, based on the information submitted by thesocial-networking user in relation to the event. Example social graphsand related social-networking functions are described in further detailwith respect to FIG. 4.

After receiving the request 252 shown in FIG. 2E, the social-networkinguser (Mark Poulsen) responds to the request 252 by indicating that he“Liked” his shopping experience with Wonderland Occasions. Thisinformation may be stored in association with any related nodes andedges of the social graph. In this example, the Like indication may bestored in association with an edge that connects a user node for thesocial-networking user to a concept node for the store.

Although FIG. 2E depicts the request as being delivered in the form of anotification, the request could also be delivered using a newsfeed, anemail, a text message, a pop-up window, or any other suitable medium.

After the user submits the additional information to thesocial-networking system, the social-networking system may use theadditional information to provide recommendations, sponsored stories,advertisements, or other content and/or functionality tosocial-networking contacts of the social-networking user. In FIG. 2F,example computing device 205, which is associated with asocial-networking contact of the social-networking user, displays anadvertisement 262 and two notifications 264 and 266. The content ofadvertisement 262 may be based on the Like indication submitted by thesocial-networking user, as well as any information associated with theevent (i.e., attendance at Anime Expo). Furthermore, advertisement 262is provided to a targeted audience—those social-networking connectionsof the user who would be most likely to be interested in advertisement262. The targeted audience may include those social connections of theuser who are engaging in social actions (and thereby generatingnotifications to the user) related to costumes/cosplay and/or related toAnime Expo. Alternatively, the delivery of advertisements to asocial-networking user may also be indicative of the user's owninterests. Notifications 264 and 266 reflect that the social-networkinguser associated with computing device 205 is a social-networkingconnection of the social-networking user associated with computingdevice 200 (Mark Poulsen). Alternatively, the social-networking userassociated with computing device 205 may be following thesocial-networking user associated with computing device 200.

To target users with advertisements, particular embodiments may utilizeone or more systems, components, elements, functions, methods,operations, or steps disclosed in the following, which are allincorporated herein by reference as examples and not by way oflimitation: U.S. Patent Appln. Publ. No. US 2009/0119167, entitled“Social Advertisements and Other Informational Messages on a SocialNetworking Website and Advertising Model for Same” and filed 18 Aug.2008 as U.S. patent application Ser. No. 12/193,702; U.S. Patent Appln.Publ. No. US 2009/0070219, entitled “Targeting Advertisements in aSocial Network” and filed 20 Aug. 2008 as U.S. patent application Ser.No. 12/195,321; U.S. Patent Appln. Publ. No. US 2012/0158501, entitled“Targeting Social Advertising to Friends of Users Who Have InteractedWith an Object Associated with the Advertising” and filed 15 Dec. 2010as U.S. patent application Ser. No. 12/968,786; or U.S. Patent Appln.Publ. No. US 2012/0166532, entitled “Contextually Relevant AffinityPrediction in a Social-Networking System” and filed 23 Dec. 2010 as U.S.patent application Ser. No. 12/978,265.

In particular embodiments, an advertisement 220 may be text (which maybe HTML-linked), one or more images (which may be HTML-linked), one ormore videos, audio, one or more ADOBE FLASH files, a suitablecombination of these, or any other suitable advertisement in anysuitable digital format presented on one or more web pages, in one ormore e-mails, or in connection with search results requested by a user).In addition or as an alternative, an advertisement 220 may be one ormore sponsored stories (e.g., a news-feed or ticker item onsocial-networking system 160). A sponsored story may be a social actionby a user (such as “liking” a page, “liking” or commenting on a post ona page, RSVPing to an event associated with a page, voting on a questionposted on a page, checking in to a place, using an application orplaying a game, or “liking” or sharing a website) that an advertiserpromotes by, for example, having the social action presented within apre-determined area of a profile page of a user or other page, presentedwith additional information associated with the advertiser, bumped up orotherwise highlighted within news feeds or tickers of other users, orotherwise promoted. The advertiser may pay to have the social actionpromoted. The social action may be promoted within or onsocial-networking system 160. In addition or as an alternative, thesocial action may be promoted outside or off of social-networking system160, where appropriate. In particular embodiments, a page may be anon-line presence (such as a webpage or website within or outside ofsocial-networking system 160) of a business, organization, or brandfacilitating its sharing of stories and connecting with people. A pagemay be customized, for example, by adding applications, posting stories,or hosting events.

A sponsored story may be generated from stories in users' news feeds andpromoted to specific areas within displays of users' web browsers whenviewing a web page associated with social-networking system 160.Sponsored stories are more likely to be viewed by users, at least inpart because sponsored stories generally involve interactions orsuggestions by the users' friends, fan pages, or other connections. Inconnection with sponsored stories, particular embodiments may utilizeone or more systems, components, elements, functions, methods,operations, or steps disclosed in U.S. patent application Ser. No.13/327,557, entitled “Sponsored Stories Unit Creation from OrganicActivity Stream” and filed 15 Dec. 2011, U.S. Patent Appln. Publ. No. US2012/0203831, entitled “Sponsored Stories Unit Creation from OrganicActivity Stream” and filed 3 Feb. 2012 as U.S. patent application Ser.No. 13/020,745, or U.S. Patent Appln. Publ. No. US 2012/0233009,entitled “Endorsement Subscriptions for Sponsored Stories” and filed 9Mar. 2011 as U.S. patent application Ser. No. 13/044,506, which are allincorporated herein by reference as an example and not by way oflimitation. In particular embodiments, sponsored stories may utilizecomputer-vision algorithms to detect products in uploaded images orphotos lacking an explicit connection to an advertiser as disclosed inU.S. patent application Ser. No. 13/212,356, entitled “Computer-VisionContent Detection for Sponsored Stories” and filed 18 Aug. 2011, whichis incorporated herein by reference as an example and not by way oflimitation.

Third-party-content objects may be advertisements generated by one ormore third parties, such as for example, a business, organization orindividual. The third party may provide payment to highlight particularthird-party-content objects or “sponsored stories.” Thethird-party-content objects may include an informational-content object,incentive-content object, or a combination thereof. As an example andnot by way of limitation, a sponsored story may include an address of aparticular business and link to a bar or quick-response (QR) code thatprovides a discount on a purchase at the particular business. Althoughthis disclosure describes and illustrates a notification with particularcontent and layout, this disclosure contemplates any notification withany suitable content and layout.

As described above, an advertisement 220 may be text (which may beHTML-linked), one or more images (which may be HTML-linked), one or morevideos, audio, one or more ADOBE FLASH files, a suitable combination ofthese, or any other suitable advertisement in any suitable digitalformat. In particular embodiments, an advertisement 220 may be requestedfor display within third-party webpages, social-networking-systemwebpages, or other pages. An advertisement 220 may be displayed in adedicated portion of a page, such as in a banner area at the top of thepage, in a column at the side of the page, in a GUI of the page, in apop-up window, over the top of content of the page, or elsewhere withrespect to the page. In addition or as an alternative, an advertisement220 may be displayed within an application or within a game. Anadvertisement 220 may be displayed within dedicated pages, requiring theuser to interact with or watch the advertisement 220 before the user mayaccess a page, utilize an application, or play a game. The user may, forexample view the advertisement 220 through a web browser.

A user may interact with an advertisement 220 in any suitable manner.The user may click or otherwise select the advertisement 220, and theadvertisement 220 may direct the user (or a browser or other applicationbeing used by the user) to a page associated with the advertisement 220.At the page associated with the advertisement 220, the user may takeadditional actions, such as purchasing a product or service associatedwith the advertisement 220, receiving information associated with theadvertisement 220, or subscribing to a newsletter associated with theadvertisement 220. An advertisement 220 with audio or video may beplayed by selecting a component of the advertisement 220 (like a “playbutton”). In particular embodiments, an advertisement 220 may includeone or more games, which a user or other application may play inconnection with the advertisement 220. An advertisement 220 may includefunctionality for responding to a poll or question in the advertisement220.

An advertisement 220 may include social-networking-system functionalitythat a user may interact with. For example, an advertisement 220 mayenable a user to “like” or otherwise endorse the advertisement 220 byselecting an icon or link associated with endorsement. Similarly, a usermay share the advertisement 220 with another user (e.g., throughsocial-networking system 160) or RSVP (e.g., through social-networkingsystem 160) to an event associated with the advertisement 220. Inaddition or as an alternative, an advertisement 220 may includesocial-networking-system context directed to the user. For example, anadvertisement 220 may display information about a friend of the userwithin social-networking system 160 who has taken an action associatedwith the subject matter of the advertisement 220.

Social-networking-system functionality or context may be associated withan advertisement 220 in any suitable manner. For example, an advertisingsystem (which may include hardware, software, or both for receiving bidsfor advertisements and selecting advertisements in response) mayretrieve social-networking functionality or context fromsocial-networking system 160 and incorporate the retrievedsocial-networking functionality or context into the advertisement 220before serving the advertisement to a user. Examples of selecting andproviding social-networking-system functionality or context with anadvertisement are disclosed in U.S. Patent Appln. Publ. No. US2012/0084160, entitled “Providing Social Endorsements with OnlineAdvertising” and filed 5 Oct. 2010 as U.S. patent application Ser. No.12/898,662, and in U.S. Patent Appln. Publ. No. US 2012/0232998,entitled “Selecting Social Endorsement Information for an Advertisementfor Display to a Viewing User” and filed 8 Mar. 2011 as U.S. patentapplication Ser. No. 13/043,424, which are both incorporated herein byreference as examples only and not by way of limitation. Interactingwith an advertisement 220 that is associated withsocial-networking-system functionality or context may cause informationabout the interaction to be displayed in a profile page of the user insocial-networking-system 160.

An advertisement 220 may be presented or otherwise delivered usingplug-ins for web browsers or other applications, iframe elements, newsfeeds, tickers, notifications (which may include, for example, e-mail,Short Message Service (SMS) messages, or other notifications), or othermeans. An advertisement 220 may be presented or otherwise delivered to auser on a mobile or other computing device of the user. In connectionwith delivering advertisements, particular embodiments may utilize oneor more systems, components, elements, functions, methods, operations,or steps disclosed in the following, which are all incorporated hereinby reference as examples and not by way of limitation: U.S. PatentAppln. Publ. No. US 2012/0159635, entitled “Comment Plug-In forThird-Party System” and filed 15 Dec. 2010 as U.S. patent applicationSer. No. 12/969,368; U.S. Patent Appln. Publ. No. US 2012/0158753,entitled “Comment Ordering System” and filed 15 Dec. 2010 as U.S. patentapplication Ser. No. 12/969,408; U.S. Pat. No. 7,669,123, entitled“Dynamically Providing a News Feed About a User of a Social Network” andfiled 11 Aug. 2006 as U.S. patent application Ser. No. 11/503,242; U.S.Patent Appln. Publ. No. US 2008/0040475, entitled “Providing a News FeedBased on User Affinity in a Social Network Environment” and filed 11Aug. 2006 as U.S. patent application Ser. No. 11/503,093; U.S. PatentAppln. Publ. No. US 2012/0072428, entitled “Action Clustering for NewsFeeds” and filed 16 Sep. 2010 as U.S. patent application Ser. No.12/884,010; U.S. Patent Appln. Publ. No. US 2001/0004692, entitled“Gathering Information about Connections in a Social Networking Service”and filed 1 Jul. 2009 as U.S. patent application Ser. No. 12/496,606;U.S. Patent Appln. Publ. No. US 2008/0065701, entitled “Method andSystem for Tracking Changes to User Content in an Online Social Network”and filed 12 Sep. 2006 as U.S. patent application Ser. No. 11/531,154;U.S. Patent Appln. Publ. No. US 2008/0065604, entitled “Feeding Updatesto Landing Pages of Users of an Online Social Network from ExternalSources” and filed 17 Jan. 2007 as U.S. patent application Ser. No.11/624,088; U.S. Pat. No. 8,244,848, entitled “Integrated Social-NetworkEnvironment” and filed 19 Apr. 2010 as U.S. patent application Ser. No.12/763,171; U.S. Patent Appln. Publ. No. US 2011/0083101, entitled“Sharing of Location-Based Content Item in Social-Networking Service”and filed 6 Oct. 2009 as U.S. patent application Ser. No. 12/574,614;U.S. Pat. No. 8,150,844, entitled “Location Ranking Using Social-GraphInformation” and filed 18 Aug. 2010 as U.S. patent application Ser. No.12/858,718; U.S. patent application Ser. No. 13/051,286, entitled“Sending Notifications to Users Based on Users' Notification ToleranceLevels” and filed 18 Mar. 2011; U.S. patent application Ser. No.13/096,184, entitled “Managing Notifications Pushed to User Devices” andfiled 28 Apr. 2011; U.S. patent application Ser. No. 13/276,248,entitled “Platform-Specific Notification Delivery Channel” and filed 18Oct. 2011; or U.S. Patent Appln. Publ. No. US 2012/0197709, entitled“Mobile Advertisement with Social Component for Geo-Social NetworkingSystem” and filed 1 Feb. 2011 as U.S. patent application Ser. No.13/019,061. Although this disclosure describes or illustrates particularadvertisements being delivered in particular ways and in connection withparticular content, this disclosure contemplates any suitableadvertisements delivered in any suitable ways and in connection with anysuitable content.

FIG. 3 illustrates an example method 300 for processing events,requesting additional information, and providing functionality based onthe additional information. In different embodiments, the steps ofexample method 300 may occur on a computer server, on a client device,or a combination thereof.

In step 310, the social-networking system receives information about anevent associated with an activity of a user of the SN. The activityunderlying the event may be associated with a location (e.g., checkingin to a restaurant, uploading a photo associated with location data,registering for an event, purchasing a product or service at a physicallocation, or simply providing real-time location data for a user), or itmay be location-agnostic (e.g., liking a movie or a product, followingor becoming a fan of a web page, an entity, or a person, joining agroup, indicating an interest, or interacting with something or someoneonline). Such information may be received through different active orpassive channels: check-in, tagging content with a location, “liking”something, auto-detection via RFID or WiFi, activity logging, datareceived or retrieved from a third-party system or server, etc. Usersmay submit such information for themselves; in some embodiments, suchinformation may be submitted on behalf of a user (e.g., being checked inby a friend).

In step 320, the social-networking system determines that the user mayhave further information about the activity. This determination may bebased on a type of the user activity, the event and associatedinformation, or on other relevant factors. In particular embodiments,events and/or user activities may be classified into categories for thepurpose of facilitating this determination. The determination may bebased on a verification that the SN user completed particular activities(e.g., complete a purchase after placing an item in a shopping cart) orengaged in other related activities (e.g., watched a second episode of atelevision show after watching a first episode). Alternatively, thedetermination may be based on the fact that an entity associated withthe event, or perhaps even some third-party organization may haverequested that additional information be solicited from anyoneperforming a social action associated with that entity or with thatlocation.

In step 330, the social-networking system determines a time to send arequest for additional information. The timing of the request may bebased on a number of different factors, such as, by way of example andnot limitation, a reference date and time of the user activity, a typeof the user activity, a location of the user activity, an object of theuser activity, or other information or metadata associated with the useractivity. The timing of the request is calculated to schedule deliveryof the request to the user at an appropriate moment: (1) reasonablypromptly after the reference date and time, so as to ensure that theuser's memory of the activity is fresh, (2) but not too early (when theuser may still be in the middle of the activity, or may be occupied withother activities).

In step 340, the social-networking system sends the user the request foradditional information related to the event at the determined time. Thetime delay may vary based on the context of the event that triggered therequest. For the purpose of calculating the time delay, therequest-triggering event may be a user action or a user-related eventdetected by the SN (e.g., check-in or photo upload or status update) oran action about which the SN was notified by a third-party system (e.g.,a purchase or upload of content). Alternatively, the request-triggeringevent may be an action or event described in or otherwise associatedwith

For example, as shown in the example use case illustrated in FIGS. 2A-C,if a user submitted a check-in for a restaurant, the SN may send theuser a message requesting a review or rating of the restaurant 12 hourslater or the next day. Alternatively, the request may be for a review orrating of a particular dish at the restaurant that the user ordered. Inanother example, as shown in the example use case illustrated in FIGS.2D-F, if a user tags an uploaded photo with the location of a localclothing store, the SN may send the user a message an hour after the tagevent, asking if the user wants to “Like” the store. Alternatively, themessage may be sent an hour after the upload event, if the store can beidentified from the photo (e.g., by performing image analysis on thephoto). Alternatively, the message may ask if the user wants to “Like”the items that they purchased.

In another example, if the user completes a purchase of an on-demandmovie for a particular showtime, the SN may send the user a messagerequesting a review or rating of the movie within 30 minutes of thescheduled end of the movie showing at that particular showtime.

In another example, if the user downloads a single-/multi-player onlinegame onto their mobile device, after detecting that the user has playedthe game in single-player mode for several days, the SN may send theuser a message asking the user if they would be interested in playingthe game in multi-player mode. If the user indicates that they would,the SN may request further information from the user, such as asking theuser if they want to join particular groups of players, or asking theuser if they want to broadcast an invitation to their social-networkingconnections to play the online game with the user.

In another example, if the user organizes a speed-dating event whereeach participant at the speed-dating event meets another participant forfive minutes before moving on to the next participant, the SN may sendeach participant an immediate message at the end of each five-minutesession requesting a rating or comments related to the person they justmet. In a further example, if a participant rates another participanthighly, the SN may ask the participant if they are willing to releasetheir contact information to the other participant after the event.

In another example, at a convention or trade show, RFID or NFCtransmitters may detect attendees as they approach each booth and notifythe SN. Since attendees at a convention or trade show have a tendency towander around and may spend anywhere from one second to fifteen minutesor even longer at a booth, the SN may send each participant an immediatemessage upon receiving the notification requesting a rating or commentsor response to a multiple-choice question related to the booth orstation. In the situation where an attendee merely passed by a booth butfailed to linger, such an immediate message may help to elicit negativefeedback that can help explain why someone was not interested in aparticular booth. In another example, the SN may send such a messageonly if the attendee is detected as lingering at the booth for longerthan some designated time period.

The time delay may vary based on a type of node associated with thelocation, based on a type of content associated with the location, basedon the method/action by which the information was received, etc.

In step 350, the social-networking system receives the additionalinformation. The additional information may be received by way of aninterface provided by the SN (e.g., “Like indication”) or another method(e.g., email or third-party online interface).

In step 360, the social-networking system stores the additionalinformation in the SN. In particular embodiments, the additionalinformation may be stored in association with the user and also inassociation with another user or a concept. For example, if the userresponded to a request for a restaurant rating and/or review, the user'sresponse may be stored in the social graph in association with theuser's node and also in association with a concept node associated withthe restaurant.

In step 370, the social-networking system uses the additionalinformation together with the information associated with the event toprovide recommendations, sponsored stories, advertisements, and othercontent and/or functionality to social-networking connections of theuser. In particular embodiments, the information may be used for rankingor filtering recommendations.

The social-networking system may receive advertisements from anadvertiser for delivery to users of a social-networking system. Theadvertisement may be received from a vendor or retailer. Theadvertisement may comprise any type of content, for example and not byway of limitation: text, graphics, video, audio, other multimediacontent. The advertisement may also be linked to a promotion associatedwith the vendor or retailer, and the promotion may be described oralluded to in the content (e.g., “10% off,” “buy one, get one ½ halfoff,” “click before the link expires in the next 10 seconds,” “refer twofriends for 20% off your next purchase”).

The social-networking system 160 may receive third-party-content objectsfrom one or more third parties, such as for example, a business,organization or individual. As used herein, third-party-content objectsinclude any suitable content object generated by a third party incontrast to content objects generated by user nodes of the social graph.The third-party-content objects may be advertisement that includesinformational-content objects, such as movie show times, movie reviews,sale information, restaurant menus, etc., as well as incentive-contentobjects, such as for example coupons, discount tickets, giftcertificates, etc. In particular embodiments, third-party-contentobjects may be a combination of informational-content andincentive-content objects. In particular embodiments, a third party mayprovide payment to highlight particular third-party-content objects or“sponsored stories”. The sponsored stories may be presented to the userin response to activity initiated by one or more user nodes in thesocial graph of the user. As an example and not by way of limitation,when a user node in the social graph “checks in” at a particularlocation, a third-party-content object associated with the particularlocation may be presented to user. As another example, athird-party-content object may be presented to the user in response to auser node in the social graph sharing content from an application thathas paid for the sponsored story.

The social-networking system may determine relevance scores foradvertisements with respect to the user based on the assessment ofnotifications described above and/or any specified criteria for a targetaudience. The relevance score may be based at least in part on locationvalue, interest value, connection value, and time value.Third-party-content objects may be assigned to categories, locations, ordelivery-time ranges by social-networking system 160. As an example andnot by way of limitation, categories may be established by thesocial-networking system 160 that reflect interests of users ofsocial-networking system 160. In particular embodiments,social-networking system 160 may assign multiple categories to eachthird-party-content object. In particular embodiments, a location may beassigned to third-party-content objects. A location may be general, suchas for example a city, or specific, such as for example a particularstreet name, intersection, or GPS coordinate. One or more locations maybe assigned to each third-party content object. In particularembodiments, a delivery-time range may be assigned to athird-party-content object. The delivery-time range may reflectappropriate hours for the third-party-content object. As an example andnot by way of limitation, if the third-party-content object is a couponfor a particular business that is open only in the morning, the rangefor the notification likely would correspond to the operating hours ofthe particular business, or some other useful range related to theoperating hours, e.g. fifteen minutes before opening to thirty minutesbefore closing.

Social-networking system 160 may determine a time value for athird-party-content object based on whether the current time is withinthe delivery-time range for the third-party-content object. Inparticular embodiments, social-networking system 160 determines alocation value for a third-party-content object based on the proximitybetween the third-party-content object location and a current locationassociated with client device 130. As an example and not by way oflimitation, a coupon for a discount on a movie ticket at a particularmovie theater chain may apply to all theaters in the chain, or aparticular theater.

In particular embodiments, the social-networking system 160 determines aconnection value for a third-party-content object based at least in parton the user nodes and connections of the social graph associated withthe third-party-content object, as described above. As an example andnot by way of limitation, a connection associated with thethird-party-content object may include information or a coupon for abusiness that a user node of the social is frequenting, e.g. a user nodeof the social graph is at the frozen yogurt store that the incentiveapplies to. In particular embodiments, the processing module of thecontent engine may modify the connection values by applying one or moreweighting factors. As an example and not by way of limitation, a degreeof separation between user nodes of the social graph and the user mayaffect the connection value. As another example, the type of connectionbetween the user and the user nodes of the social graph user may affectthe connection value. As an example and not by way of limitation,“friendship”-type connections may be associated with a higher connectionvalue than a “work colleague”-type connection. Although this disclosuredescribes a relevance score based on particular types of values, thisdisclosure contemplates a relevance score based on any suitable types ofvalues.

In particular embodiments, social-networking system 160 may determine arelevance score based at least in part on whether the category orcategories assigned to the third-party-content object coincide with thecategory or categories associated with the user's interests. Inparticular embodiments, the relevance score may be based on informationassociated with an object in the social graph of the user, informationassociated with an action taken with respect to the social graph, orinformation related to the user that is received at social-networkingsystem 160 from a third party. As an example and not by way oflimitation, an object in the social graph may include a user or conceptprofile, or information associated with a user node that is connected tothe user. As another example, an action may includefriending/unfriending a user node, “liking” a content object, becoming afan of a third party, joining a group or community of users onsocial-networking system 160, or visiting a website of a third party. Asanother example, third-party information may include information ofactivity of the user or purchases by the user on a third-party website.Although this disclosure describes a relevance score based on particularinformation or actions associated with the user, this disclosurecontemplates a relevance score based on any suitable information oractions associated with the user. Determination of relevance scores isdiscussed in further detail in U.S. patent application Ser. No.12/976,859, filed 22 Dec. 2010 and titled “Timing for Providing RelevantNotifications for a User Based on User Interaction with Notifications,”which is incorporated herein by reference.

In particular embodiments, the relevance score is based at least in partto an affinity for the user with respect to the object of the socialgraph, as described above. As an example and not by way of limitation,affinity for past, present, or future content may be determined by theprocessing module of the content engine based on user activities,activities of the user nodes of the social graph, or associatedconnections, or any combination thereof. Any type of variable may beconsidered when determining affinity to weight the aggregatedconsolidated data. In particular embodiments, affinity may be calculatedusing a weighted set of predictor functions. Predictor functions predictwhether the user will perform a particular action. The predictorfunctions may predict any number of actions, which may be within oroutside of the social networking system. In particular embodiments, theprocessing module ranks the aggregated consolidated data by relevancescore to dynamically generate content personalized for the users ofsocial-networking system 160. In particular embodiments, the processingmodule of the content engine may combine the location value, interestvalue, connection value, and time value to determine the relevance scorefor the third-party content object with respect to the user. Thedynamically generated content personalized for the users ofsocial-networking system 160 may be stored in a data store describedabove.

Determination and use of measures of affinity are discussed in furtherdetail in the following U.S. patent applications, all of which areincorporated herein by reference: U.S. patent application Ser. No.11/502,757, filed on 11 Aug. 2006, titled “Generating a Feed of StoriesPersonalized for Members of a Social Network,” and issued as U.S. Pat.No. 7,827,208; U.S. patent application Ser. No. 12/645,481, filed on 23Dec. 2009 and titled “Selection and Presentation of Related SocialNetworking System Content and Advertisements;” U.S. patent applicationSer. No. 13/247,825, filed on 28 Sep. 2011 and titled “InstantaneousRecommendation of Social Interactions in a Social Networking System;”U.S. patent application Ser. No. 12/976,755, filed on 22 Dec. 2010 andtitled “Pricing Relevant Notifications Provided to a User Based onLocation and Social Information;” U.S. patent application Ser. No.12/978,265, filed on 23 Dec. 2010 and titled “Contextually RelevantAffinity Prediction in a Social Networking System;” and U.S. patentapplication Ser. No. 13/632,869, filed on 1 Oct. 2012 and titled “MobileDevice-Related Measures of Affinity.”

The social-networking system may select advertisement(s) for delivery tothe user based on the relevance scores. The processing module of thecontent engine may select particular third-party-content objects (e.g.,advertisements) based on the relevance score for the third-party contentobject with respect to the user.

In particular embodiments, the social-networking system may utilize alocation-based ranking algorithm to assess the additional informationtogether with the information associated with the event. The algorithmmay comprise a linear model that computes a value for each of a set offactors, then applies weights to the factors to come up with an overallranking score. In particular embodiments, certain factors may beevaluated on a binary basis, while others are assessed along a gamut(e.g., linear, exponential, bell curve). Factors may include any aspectof a particular location, including both physical aspects and virtualaspects, such as, by way of example and not limitation:

-   -   the proximity of the user's current location (or another        specified location) to the particular location;    -   the current time of day, day of the week, or other date-related        information, and any available information about hours of        operation for the particular location;    -   whether the particular location is on or near a particular        route;    -   amenities of the location (e.g., do they have a bathroom? do        other people think the bathroom is well-kept? do they have an        elevator? do they accept payment by credit card?);    -   whether the particular location is represented within the social        graph (e.g., as a standalone concept node, or as information        associated with another node), including the degree of        completeness of a profile page or homepage associated with the        particular location;    -   whether information related to the particular location is        available on third-party websites (e.g., websites for the        Michelin Guide, Zagat, TimeOut), including the degree of        completeness of the page on the third-party website that is        associated with the particular location;    -   availability of online images of the particular location (e.g.,        on the particular location's social-networking homepage, on a        website associated with the particular location, or on        third-party websites);    -   whether there are social recommendations available for the        particular location (e.g., did a social-networking friend of the        user check in there? or indicate that they liked or disliked it?        or recommend it?)—this may involve factoring in:        -   aspects of the relationship between the user and the friend            (e.g., degree of separation in the social graph, duration of            the connection, frequency of communications, topics            discussed, shared interests, shared groups, etc.), or        -   aspects of the relationship of the user to the particular            location (e.g., is the user a tourist or a local? is the            user visiting for business or pleasure? if the user is a            tourist, are they a regular visitor?)—use social            recommendations submitted by social graph users who had the            same purpose while in the area;        -   profile of other visitors to the particular location (how            well do their profiles match the user's profile?)    -   any search query submitted by the user (e.g., all “Cinemark        movie theaters within 5 miles of my current location”);    -   categorizations applied to the particular location (e.g.,        “hotel,” “restaurant,” “resort,” “spa,” “banquet facilities,”        “meeting rooms”), as well as any order, scoring, or ranking        applied to the categorizations;    -   verification of existence and measure of popularity (are there a        lot of “check-ins”? a lot of “Likes”? are there significantly        more “Likes” than “check-ins” (indicating that it may not be an        actual physical location)? are there a lot of historical        check-ins, but none within the past nine months?).

Although this disclosure describes and illustrates particular steps ofthe method of FIG. 3 as occurring in a particular order, this disclosurecontemplates any suitable steps of the method of FIG. 3 occurring in anysuitable order. Moreover, although this disclosure describes andillustrates particular components carrying out particular steps of themethod of FIG. 3, this disclosure contemplates any suitable combinationof any suitable components carrying out any suitable steps of the methodof FIG. 3.

FIG. 4 illustrates example social graph 400. In particular embodiments,social-networking system 160 may store one or more social graphs 400 inone or more data stores. In particular embodiments, social graph 400 mayinclude multiple nodes—which may include multiple user nodes 402 ormultiple concept nodes 404—and multiple edges 406 connecting the nodes.Example social graph 400 illustrated in FIG. 4 is shown, for didacticpurposes, in a two-dimensional visual map representation. In particularembodiments, a social-networking system 160, client system 130, orthird-party system 170 may access social graph 400 and relatedsocial-graph information for suitable applications. The nodes and edgesof social graph 400 may be stored as data objects, for example, in adata store (such as a social-graph database). Such a data store mayinclude one or more searchable or queryable indexes of nodes or edges ofsocial graph 400.

In particular embodiments, a user node 402 may correspond to a user ofsocial-networking system 160. As an example and not by way oflimitation, a user may be an individual (human user), an entity (e.g.,an enterprise, business, or third-party application), or a group (e.g.,of individuals or entities) that interacts or communicates with or oversocial-networking system 160. In particular embodiments, when a userregisters for an account with social-networking system 160,social-networking system 160 may create a user node 402 corresponding tothe user, and store the user node 402 in one or more data stores. Usersand user nodes 402 described herein may, where appropriate, refer toregistered users and user nodes 402 associated with registered users. Inaddition or as an alternative, users and user nodes 402 described hereinmay, where appropriate, refer to users that have not registered withsocial-networking system 160. In particular embodiments, a user node 402may be associated with information provided by a user or informationgathered by various systems, including social-networking system 160. Asan example and not by way of limitation, a user may provide his or hername, profile picture, contact information, birth date, sex, maritalstatus, family status, employment, education background, preferences,interests, or other demographic information. In particular embodiments,a user node 402 may be associated with one or more data objectscorresponding to information associated with a user. In particularembodiments, a user node 402 may correspond to one or more webpages.

In particular embodiments, a concept node 404 may correspond to aconcept. As an example and not by way of limitation, a concept maycorrespond to a place (such as, for example, a movie theater,restaurant, landmark, or city); a website (such as, for example, awebsite associated with social-network system 160 or a third-partywebsite associated with a web-application server); an entity (such as,for example, a person, business, group, sports team, or celebrity); aresource (such as, for example, an audio file, video file, digitalphoto, text file, structured document, or application) which may belocated within social-networking system 160 or on an external server,such as a web-application server; real or intellectual property (suchas, for example, a sculpture, painting, movie, game, song, idea,photograph, or written work); a game; an activity; an idea or theory;another suitable concept; or two or more such concepts. A concept node404 may be associated with information of a concept provided by a useror information gathered by various systems, including social-networkingsystem 160. As an example and not by way of limitation, information of aconcept may include a name or a title; one or more images (e.g., animage of the cover page of a book); a location (e.g., an address or ageographical location); a website (which may be associated with a URL);contact information (e.g., a phone number or an email address); othersuitable concept information; or any suitable combination of suchinformation. In particular embodiments, a concept node 404 may beassociated with one or more data objects corresponding to informationassociated with concept node 404. In particular embodiments, a conceptnode 404 may correspond to one or more webpages.

In particular embodiments, a node in social graph 400 may represent orbe represented by a webpage (which may be referred to as a “profilepage”). Profile pages may be hosted by or accessible tosocial-networking system 160. Profile pages may also be hosted onthird-party websites associated with a third-party server 170. As anexample and not by way of limitation, a profile page corresponding to aparticular external webpage may be the particular external webpage andthe profile page may correspond to a particular concept node 404.Profile pages may be viewable by all or a selected subset of otherusers. As an example and not by way of limitation, a user node 402 mayhave a corresponding user-profile page in which the corresponding usermay add content, make declarations, or otherwise express himself orherself. As another example and not by way of limitation, a concept node404 may have a corresponding concept-profile page in which one or moreusers may add content, make declarations, or express themselves,particularly in relation to the concept corresponding to concept node404.

In particular embodiments, a concept node 404 may represent athird-party webpage or resource hosted by a third-party system 170. Thethird-party webpage or resource may include, among other elements,content, a selectable or other icon, or other inter-actable object(which may be implemented, for example, in JavaScript, AJAX, or PHPcodes) representing an action or activity. As an example and not by wayof limitation, a third-party webpage may include a selectable icon suchas “like,” “check in,” “eat,” “recommend,” or another suitable action oractivity. A user viewing the third-party webpage may perform an actionby selecting one of the icons (e.g., “eat”), causing a client system 130to send to social-networking system 160 a message indicating the user'saction. In response to the message, social-networking system 160 maycreate an edge (e.g., an “eat” edge) between a user node 402corresponding to the user and a concept node 404 corresponding to thethird-party webpage or resource and store edge 406 in one or more datastores.

In particular embodiments, a pair of nodes in social graph 400 may beconnected to each other by one or more edges 406. An edge 406 connectinga pair of nodes may represent a relationship between the pair of nodes.In particular embodiments, an edge 406 may include or represent one ormore data objects or attributes corresponding to the relationshipbetween a pair of nodes. As an example and not by way of limitation, afirst user may indicate that a second user is a “friend” of the firstuser. In response to this indication, social-networking system 160 maysend a “friend request” to the second user. If the second user confirmsthe “friend request,” social-networking system 160 may create an edge406 connecting the first user's user node 402 to the second user's usernode 402 in social graph 400 and store edge 406 as social-graphinformation in one or more of data stores 24. In the example of FIG. 4,social graph 400 includes an edge 406 indicating a friend relationbetween user nodes 402 of user “A” and user “B” and an edge indicating afriend relation between user nodes 402 of user “C” and user “B.”Although this disclosure describes or illustrates particular edges 406with particular attributes connecting particular user nodes 402, thisdisclosure contemplates any suitable edges 406 with any suitableattributes connecting user nodes 402. As an example and not by way oflimitation, an edge 406 may represent a friendship, family relationship,business or employment relationship, fan relationship, followerrelationship, visitor relationship, subscriber relationship,superior/subordinate relationship, reciprocal relationship,non-reciprocal relationship, another suitable type of relationship, ortwo or more such relationships. Moreover, although this disclosuregenerally describes nodes as being connected, this disclosure alsodescribes users or concepts as being connected. Herein, references tousers or concepts being connected may, where appropriate, refer to thenodes corresponding to those users or concepts being connected in socialgraph 400 by one or more edges 406.

In particular embodiments, an edge 406 between a user node 402 and aconcept node 404 may represent a particular action or activity performedby a user associated with user node 402 toward a concept associated witha concept node 404. As an example and not by way of limitation, asillustrated in FIG. 4, a user may “like,” “attended,” “played,”“listened,” “cooked,” “worked at,” or “watched” a concept, each of whichmay correspond to an edge type or subtype. A concept-profile pagecorresponding to a concept node 404 may include, for example, aselectable “check in” icon (such as, for example, a clickable “check in”icon) or a selectable “add to favorites” icon. Similarly, after a userclicks these icons, social-networking system 160 may create a “favorite”edge or a “check in” edge in response to a user's action correspondingto a respective action. As another example and not by way of limitation,a user (user “C”) may listen to a particular song (“Ramble On”) using aparticular application (SPOTIFY, which is an online music application).In this case, social-networking system 160 may create a “listened” edge406 and a “used” edge (as illustrated in FIG. 4) between user nodes 402corresponding to the user and concept nodes 404 corresponding to thesong and application to indicate that the user listened to the song andused the application. Moreover, social-networking system 160 may createa “played” edge 406 (as illustrated in FIG. 4) between concept nodes 404corresponding to the song and the application to indicate that theparticular song was played by the particular application. In this case,“played” edge 406 corresponds to an action performed by an externalapplication (SPOTIFY) on an external audio file (the song “Imagine”).Although this disclosure describes particular edges 406 with particularattributes connecting user nodes 402 and concept nodes 404, thisdisclosure contemplates any suitable edges 406 with any suitableattributes connecting user nodes 402 and concept nodes 404. Moreover,although this disclosure describes edges between a user node 402 and aconcept node 404 representing a single relationship, this disclosurecontemplates edges between a user node 402 and a concept node 404representing one or more relationships. As an example and not by way oflimitation, an edge 406 may represent both that a user likes and hasused at a particular concept. Alternatively, another edge 406 mayrepresent each type of relationship (or multiples of a singlerelationship) between a user node 402 and a concept node 404 (asillustrated in FIG. 4 between user node 402 for user “E” and conceptnode 404 for “SPOTIFY”).

In particular embodiments, social-networking system 160 may create anedge 406 between a user node 402 and a concept node 404 in social graph400. As an example and not by way of limitation, a user viewing aconcept-profile page (such as, for example, by using a web browser or aspecial-purpose application hosted by the user's client system 130) mayindicate that he or she likes the concept represented by the conceptnode 404 by clicking or selecting a “Like” icon, which may cause theuser's client system 130 to send to social-networking system 160 amessage indicating the user's liking of the concept associated with theconcept-profile page. In response to the message, social-networkingsystem 160 may create an edge 406 between user node 402 associated withthe user and concept node 404, as illustrated by “like” edge 406 betweenthe user and concept node 404. In particular embodiments,social-networking system 160 may store an edge 406 in one or more datastores. In particular embodiments, an edge 406 may be automaticallyformed by social-networking system 160 in response to a particular useraction. As an example and not by way of limitation, if a first useruploads a picture, watches a movie, or listens to a song, an edge 406may be formed between user node 402 corresponding to the first user andconcept nodes 404 corresponding to those concepts. Although thisdisclosure describes forming particular edges 406 in particular manners,this disclosure contemplates forming any suitable edges 406 in anysuitable manner.

FIG. 5 illustrates an example computer system 500. In particularembodiments, one or more computer systems 500 perform one or more stepsof one or more methods described or illustrated herein. In particularembodiments, one or more computer systems 500 provide functionalitydescribed or illustrated herein. In particular embodiments, softwarerunning on one or more computer systems 500 performs one or more stepsof one or more methods described or illustrated herein or providesfunctionality described or illustrated herein. Particular embodimentsinclude one or more portions of one or more computer systems 500.Herein, reference to a computer system may encompass a computing device,and vice versa, where appropriate. Moreover, reference to a computersystem may encompass one or more computer systems, where appropriate.

This disclosure contemplates any suitable number of computer systems500. This disclosure contemplates computer system 500 taking anysuitable physical form. As example and not by way of limitation,computer system 500 may be an embedded computer system, a system-on-chip(SOC), a single-board computer system (SBC) (such as, for example, acomputer-on-module (COM) or system-on-module (SOM)), a desktop computersystem, a laptop or notebook computer system, an interactive kiosk, amainframe, a mesh of computer systems, a mobile telephone, a personaldigital assistant (PDA), a server, a tablet computer system, or acombination of two or more of these. Where appropriate, computer system500 may include one or more computer systems 500; be unitary ordistributed; span multiple locations; span multiple machines; spanmultiple data centers; or reside in a cloud, which may include one ormore cloud components in one or more networks. Where appropriate, one ormore computer systems 500 may perform without substantial spatial ortemporal limitation one or more steps of one or more methods describedor illustrated herein. As an example and not by way of limitation, oneor more computer systems 500 may perform in real time or in batch modeone or more steps of one or more methods described or illustratedherein. One or more computer systems 500 may perform at different timesor at different locations one or more steps of one or more methodsdescribed or illustrated herein, where appropriate.

In particular embodiments, computer system 500 includes a processor 502,memory 504, storage 506, an input/output (I/O) interface 508, acommunication interface 510, and a bus 512. Although this disclosuredescribes and illustrates a particular computer system having aparticular number of particular components in a particular arrangement,this disclosure contemplates any suitable computer system having anysuitable number of any suitable components in any suitable arrangement.

In particular embodiments, processor 502 includes hardware for executinginstructions, such as those making up a computer program. As an exampleand not by way of limitation, to execute instructions, processor 502 mayretrieve (or fetch) the instructions from an internal register, aninternal cache, memory 504, or storage 506; decode and execute them; andthen write one or more results to an internal register, an internalcache, memory 504, or storage 506. In particular embodiments, processor502 may include one or more internal caches for data, instructions, oraddresses. This disclosure contemplates processor 502 including anysuitable number of any suitable internal caches, where appropriate. Asan example and not by way of limitation, processor 502 may include oneor more instruction caches, one or more data caches, and one or moretranslation lookaside buffers (TLBs). Instructions in the instructioncaches may be copies of instructions in memory 504 or storage 506, andthe instruction caches may speed up retrieval of those instructions byprocessor 502. Data in the data caches may be copies of data in memory504 or storage 506 for instructions executing at processor 502 tooperate on; the results of previous instructions executed at processor502 for access by subsequent instructions executing at processor 502 orfor writing to memory 504 or storage 506; or other suitable data. Thedata caches may speed up read or write operations by processor 502. TheTLBs may speed up virtual-address translation for processor 502. Inparticular embodiments, processor 502 may include one or more internalregisters for data, instructions, or addresses. This disclosurecontemplates processor 502 including any suitable number of any suitableinternal registers, where appropriate. Where appropriate, processor 502may include one or more arithmetic logic units (ALUs); be a multi-coreprocessor; or include one or more processors 502. Although thisdisclosure describes and illustrates a particular processor, thisdisclosure contemplates any suitable processor.

In particular embodiments, memory 504 includes main memory for storinginstructions for processor 502 to execute or data for processor 502 tooperate on. As an example and not by way of limitation, computer system500 may load instructions from storage 506 or another source (such as,for example, another computer system 500) to memory 504. Processor 502may then load the instructions from memory 504 to an internal registeror internal cache. To execute the instructions, processor 502 mayretrieve the instructions from the internal register or internal cacheand decode them. During or after execution of the instructions,processor 502 may write one or more results (which may be intermediateor final results) to the internal register or internal cache. Processor502 may then write one or more of those results to memory 504. Inparticular embodiments, processor 502 executes only instructions in oneor more internal registers or internal caches or in memory 504 (asopposed to storage 506 or elsewhere) and operates only on data in one ormore internal registers or internal caches or in memory 504 (as opposedto storage 506 or elsewhere). One or more memory buses (which may eachinclude an address bus and a data bus) may couple processor 502 tomemory 504. Bus 512 may include one or more memory buses, as describedbelow. In particular embodiments, one or more memory management units(MMUs) reside between processor 502 and memory 504 and facilitateaccesses to memory 504 requested by processor 502. In particularembodiments, memory 504 includes random access memory (RAM). This RAMmay be volatile memory, where appropriate Where appropriate, this RAMmay be dynamic RAM (DRAM) or static RAM (SRAM). Moreover, whereappropriate, this RAM may be single-ported or multi-ported RAM. Thisdisclosure contemplates any suitable RAM. Memory 504 may include one ormore memories 504, where appropriate. Although this disclosure describesand illustrates particular memory, this disclosure contemplates anysuitable memory.

In particular embodiments, storage 506 includes mass storage for data orinstructions. As an example and not by way of limitation, storage 506may include a hard disk drive (HDD), a floppy disk drive, flash memory,an optical disc, a magneto-optical disc, magnetic tape, or a UniversalSerial Bus (USB) drive or a combination of two or more of these. Storage506 may include removable or non-removable (or fixed) media, whereappropriate. Storage 506 may be internal or external to computer system500, where appropriate. In particular embodiments, storage 506 isnon-volatile, solid-state memory. In particular embodiments, storage 506includes read-only memory (ROM). Where appropriate, this ROM may bemask-programmed ROM, programmable ROM (PROM), erasable PROM (EPROM),electrically erasable PROM (EEPROM), electrically alterable ROM (EAROM),or flash memory or a combination of two or more of these. Thisdisclosure contemplates mass storage 506 taking any suitable physicalform. Storage 506 may include one or more storage control unitsfacilitating communication between processor 502 and storage 506, whereappropriate. Where appropriate, storage 506 may include one or morestorages 506. Although this disclosure describes and illustratesparticular storage, this disclosure contemplates any suitable storage.

In particular embodiments, I/O interface 508 includes hardware,software, or both, providing one or more interfaces for communicationbetween computer system 500 and one or more I/O devices. Computer system500 may include one or more of these I/O devices, where appropriate. Oneor more of these I/O devices may enable communication between a personand computer system 500. As an example and not by way of limitation, anI/O device may include a keyboard, keypad, microphone, monitor, mouse,printer, scanner, speaker, still camera, stylus, tablet, touch screen,trackball, video camera, another suitable I/O device or a combination oftwo or more of these. An I/O device may include one or more sensors.This disclosure contemplates any suitable I/O devices and any suitableI/O interfaces 508 for them. Where appropriate, I/O interface 508 mayinclude one or more device or software drivers enabling processor 502 todrive one or more of these I/O devices. I/O interface 508 may includeone or more I/O interfaces 508, where appropriate. Although thisdisclosure describes and illustrates a particular I/O interface, thisdisclosure contemplates any suitable I/O interface.

In particular embodiments, communication interface 510 includeshardware, software, or both providing one or more interfaces forcommunication (such as, for example, packet-based communication) betweencomputer system 500 and one or more other computer systems 500 or one ormore networks. As an example and not by way of limitation, communicationinterface 510 may include a network interface controller (NIC) ornetwork adapter for communicating with an Ethernet or other wire-basednetwork or a wireless NIC (WNIC) or wireless adapter for communicatingwith a wireless network, such as a Wi-Fi network. This disclosurecontemplates any suitable network and any suitable communicationinterface 510 for it. As an example and not by way of limitation,computer system 500 may communicate with an ad hoc network, a personalarea network (PAN), a local area network (LAN), a wide area network(WAN), a metropolitan area network (MAN), or one or more portions of theInternet or a combination of two or more of these. One or more portionsof one or more of these networks may be wired or wireless. As anexample, computer system 500 may communicate with a wireless PAN (WPAN)(such as, for example, a BLUETOOTH WPAN), a Wi-Fi network, a WI-MAXnetwork, a cellular telephone network (such as, for example, a GlobalSystem for Mobile Communications (GSM) network), or other suitablewireless network or a combination of two or more of these. Computersystem 500 may include any suitable communication interface 510 for anyof these networks, where appropriate. Communication interface 510 mayinclude one or more communication interfaces 510, where appropriate.Although this disclosure describes and illustrates a particularcommunication interface, this disclosure contemplates any suitablecommunication interface.

In particular embodiments, bus 512 includes hardware, software, or bothcoupling components of computer system 500 to each other. As an exampleand not by way of limitation, bus 512 may include an AcceleratedGraphics Port (AGP) or other graphics bus, an Enhanced Industry StandardArchitecture (EISA) bus, a front-side bus (FSB), a HYPERTRANSPORT (HT)interconnect, an Industry Standard Architecture (ISA) bus, an INFINIBANDinterconnect, a low-pin-count (LPC) bus, a memory bus, a Micro ChannelArchitecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, aPCI-Express (PCIe) bus, a serial advanced technology attachment (SATA)bus, a Video Electronics Standards Association local (VLB) bus, oranother suitable bus or a combination of two or more of these. Bus 512may include one or more buses 512, where appropriate. Although thisdisclosure describes and illustrates a particular bus, this disclosurecontemplates any suitable bus or interconnect.

Herein, a computer-readable non-transitory storage medium or media mayinclude one or more semiconductor-based or other integrated circuits(ICs) (such, as for example, field-programmable gate arrays (FPGAs) orapplication-specific ICs (ASICs)), hard disk drives (HDDs), hybrid harddrives (HHDs), optical discs, optical disc drives (ODDs),magneto-optical discs, magneto-optical drives, floppy diskettes, floppydisk drives (FDDs), magnetic tapes, solid-state drives (SSDs),RAM-drives, SECURE DIGITAL cards or drives, any other suitablecomputer-readable non-transitory storage media, or any suitablecombination of two or more of these, where appropriate. Acomputer-readable non-transitory storage medium may be volatile,non-volatile, or a combination of volatile and non-volatile, whereappropriate.

Herein, “or” is inclusive and not exclusive, unless expressly indicatedotherwise or indicated otherwise by context. Therefore, herein, “A or B”means “A, B, or both,” unless expressly indicated otherwise or indicatedotherwise by context. Moreover, “and” is both joint and several, unlessexpressly indicated otherwise or indicated otherwise by context.Therefore, herein, “A and B” means “A and B, jointly or severally,”unless expressly indicated otherwise or indicated otherwise by context.

The scope of this disclosure encompasses all changes, substitutions,variations, alterations, and modifications to the example embodimentsdescribed or illustrated herein that a person having ordinary skill inthe art would comprehend. The scope of this disclosure is not limited tothe example embodiments described or illustrated herein. Moreover,although this disclosure describes and illustrates respectiveembodiments herein as including particular components, elements,functions, operations, or steps, any of these embodiments may includeany combination or permutation of any of the components, elements,functions, operations, or steps described or illustrated anywhere hereinthat a person having ordinary skill in the art would comprehend.Furthermore, reference in the appended claims to an apparatus or systemor a component of an apparatus or system being adapted to, arranged to,capable of, configured to, enabled to, operable to, or operative toperform a particular function encompasses that apparatus, system,component, whether or not it or that particular function is activated,turned on, or unlocked, as long as that apparatus, system, or componentis so adapted, arranged, capable, configured, enabled, operable, oroperative.

1. A method comprising: receiving, by one or more processors associatedwith one or more computer servers, information about an activity of afirst user, the information being received in association with an eventtriggered by the first user, the first user being associated with a usernode in a social graph; determining, by the one or more processors,based on the information about the activity and the triggered event,that the first user may be able to provide further information about theactivity; determining, by the one or more processors, a time to send thefirst user a request for further information about the activity, whereinthe request for further information about the activity comprises arequest to perform an action associated with the social graph; sending,by the one or more processors, the request to the first user at thedetermined time; and receiving, by the one or more processors, aresponse from the first user with the further information about theactivity.
 2. The method of claim 1, further comprising: determining areference date and time of the activity of the first user, whereindetermination of the time to send the first user the request is based onthe reference date and time.
 3. The method of claim 1, whereindetermination of the time to send the first user the request is based ona type of the event or information associated with the event.
 4. Themethod of claim 1, further comprising: storing the further informationabout the activity in association with one or more nodes of the socialgraph.
 5. The method of claim 1, further comprising: providingadditional information based on the further information about theactivity.
 6. The method of claim 5, wherein the additional informationprovided based on the further information about the activity of thefirst user comprises an advertisement, sponsored story, recommendation,or suggestion.
 7. The method of claim 5, wherein the additionalinformation provided based on the further information about the activityof the first user is ranked based on the further information, using alocation-based ranking algorithm.
 8. The method of claim 5, wherein theadditional information provided based on the further information aboutthe activity of the first user is provided to a user represented by anode in the social graph or an entity represented by a node in thesocial graph.
 9. The method of claim 5, wherein the additionalinformation provided based on the further information about the activityof the first user is provided to a third party associated with theactivity of the first user.
 10. One or more computer-readablenon-transitory storage media embodying software that is operable whenexecuted to: receive, by one or more processors associated with one ormore computer servers, information about an activity of a first user,the information being received in association with an event triggered bythe first user, the first user being associated with a user node in asocial graph; determine, based on the information about the activity andthe triggered event, that the first user may be able to provide furtherinformation about the activity; determine, by the one or moreprocessors, a time to send the first user a request for furtherinformation about the activity, wherein the request for furtherinformation about the activity comprises a request to perform an actionassociated with the social graph; send, by the one or more processors,the request to the first user at the determined time; and receive, bythe one or more processors, a response from the first user with thefurther information about the activity.
 11. The media of claim 10,wherein the software is further operable when executed to: determine areference date and time of the activity of the first user, whereindetermination of the time to send the first user the request is based onthe reference date and time and a type of the event or informationassociated with the event.
 12. The media of claim 10, wherein thesoftware is further operable when executed to: store the furtherinformation about the activity in association with one or more nodes ofthe social graph.
 13. The media of claim 10, wherein the request forfurther information about the activity comprises a request to perform anaction associated with the social graph.
 14. The media of claim 10,wherein the software is further operable when executed to provideadditional information based on the further information about theactivity.
 15. The media of claim 14, wherein the additional informationprovided based on the further information about the activity of thefirst user comprises an advertisement, sponsored story, recommendation,or suggestion.
 16. The media of claim 14, wherein the additionalinformation provided based on the further information about the activityof the first user is ranked based on the further information, using alocation-based ranking algorithm.
 17. The media of claim 14, wherein theadditional information provided based on the further information aboutthe activity of the first user is provided to a user represented by anode in the social graph or an entity represented by a node in thesocial graph.
 18. The media of claim 14, wherein the additionalinformation provided based on the further information about the activityof the first user is provided to a third party associated with theactivity of the first user.
 19. A system comprising: one or moreprocessors associated with one or more computer servers associated witha social networking system; and a memory coupled to the processorscomprising instructions executable by the processors, the processorsbeing operable when executing the instructions to: receive informationabout an activity of a first user, the information being received inassociation with an event triggered by the first user, the first userbeing associated with a user node in a social graph; determine, based onthe information about the activity and the triggered event, that thefirst user may be able to provide further information about theactivity; determine a time to send the first user a request for furtherinformation about the activity, wherein the request for furtherinformation about the activity comprises a request to perform an actionassociated with the social graph; send the request to the first user atthe determined time; and receive a response from the first user with thefurther information about the activity.
 20. The system of claim 19,wherein the processors are further operable when executing theinstructions to provide additional information based on the furtherinformation about the activity, wherein the additional informationprovided based on the further information about the activity of thefirst user comprises an advertisement, sponsored story, recommendation,or suggestion.